The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.
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20122022
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
11 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 11 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.
Distilled predictions cover 11 of 11 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Francisca Luanna da Cunha Medeiros, Joyce Lopes Macedo, Fatima Dandara Assunção, Raynara Lima da Silva, Soraya Soares da Silva, Amanda Suellenn da Silva Santos Oliveira +1 more
2019· article· pt· Revista Brasileira de Ciências da Saúde· Health Professions
Núria Jussara Lima Silva, George Alberto da Silva Dias, Lucieny da Silva Pontes, Erica Carneiro Nunes, Ediléa Monteiro de Oliveira, Biatriz Araújo Cardoso Dias +1 more
2022· article· pt· Revista Brasileira de Ciências da Saúde· Medicine
Anna Paula Faro de Castro, Luana Patrícia Pinto Veiga, Dayse Danielle de Oliveira Silva, Biatriz Araújo Cardoso Dias, George Alberto da Silva Dias, Érica Feio Carneiro Nunes
2020· article· pt· Revista Brasileira de Ciências da Saúde· Medicine